🤖 ML Model Benchmark

AI/ML tool by AetherCodeHQ

ai machine-learning cli golang

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What is ML-Model-Benchmark?

ML-Model-Benchmark is an AI-powered analysis tool that scans and processes code using pattern recognition.

Features

• ✅ Network operations
• 🚀 Zero dependencies — only Go standard library
• 📦 Single binary — compile and run anywhere
• 🔄 Offline capable — no internet required

Installation

# Clone
git clone https://github.com/AetherCodeHQ/ML-Model-Benchmark.git
cd ML-Model-Benchmark

# Build
go build -o ml-model-benchmark .

# Run
./ml-model-benchmark [file]

Or directly with go run:

go run main.go [file]

Usage

# Basic usage
./ml-model-benchmark [file]

Example Output

$ ./ml-model-benchmark [file]
ML Model Benchmark
==================
  %-22s %-8s %-10s %-10s Score\n

Project Structure

ML-Model-Benchmark/
  main.go          # Entry point (30 lines)
  go.mod            # Go module definition
  go.sum            # Dependency checksums
  README.md         # This file
  LICENSE           # MIT License
  CHANGELOG.md      # Version history

Contributing

Contributions are welcome! Feel free to open issues or submit pull requests.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

MIT License - see LICENSE for details.

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Built with ❤️ by AetherCodeHQ